Mining large-scale smartphone data for personality studies

  title={Mining large-scale smartphone data for personality studies},
  author={Gokul Chittaranjan and Jan Blom and Daniel Gatica-Perez},
  journal={Personal and Ubiquitous Computing},
In this paper, we investigate the relationship between automatically extracted behavioral characteristics derived from rich smartphone data and self-reported Big-Five personality traits (extraversion, agreeableness, conscientiousness, emotional stability and openness to experience). Our data stem from smartphones of 117 Nokia N95 smartphone users, collected over a continuous period of 17 months in Switzerland. From the analysis, we show that several aggregated features obtained from smartphone… CONTINUE READING
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Revised NEO Personality Inventory (NEO-PI-R) and NEO Five- Factor Inventory (NEO-FFI) professional manual

  • T J.CostaP., R. R. McCrae
  • Psychological Assessment Inventories
  • 1992
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